Recognising Compositionality of Multi-Word Expressions in the Wordnet Oriented Perspective

A method for the recognition of the compositionality of Multi Word Expressions (MWEs) is proposed. First, we study associations between MWEs and the structure of wordnet lexico-semantic relations. A simple method of splitting plWordNet’s MWEs into compositional and non-compositional on the basis of the hypernymy structure is discussed. However, our main goal is to build a classifier for the recognition of compositional MWEs. We assume prior MWE detection. Several experiments with different classification algorithms were performed for the purposes of this task, namely Naive Bayes classifier, Multinomial logistic regression model with a ridge estimator and Decision Table classifier. A heterogeneous set of features is based on: t-score measure for word co-occurrences, Measure of Semantic Relatedness and lexico-syntactic structure of MWEs. MWE compositionality classification is analysed as a knowledge source for automated wordnet expansion.

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